Validation of network measures as indicators of defective modules in software systems

Ayşe Tosun*, Burak Turhan, Ayşe Bener

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

73 Atıf (Scopus)

Özet

In ICSE'08, Zimmermann and Nagappan show that network measures derived from dependency graphs are able to identify critical binaries of a complex system that are missed by complexity metrics. The system used in their analysis is a Windows product. In this study, we conduct additional experiments on public data to reproduce and validate their results. We use complexity and network metrics from five additional systems. We examine three small scale embedded software and two versions of Eclipse to compare defect prediction performance of these metrics. We select two different granularity levels to perform our experiments: function-level and source file-level. In our experiments, we observe that network measures are important indicators of defective modules for large and complex systems, whereas they do not have significant effects on small scale projects.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıPROMISE 2009 - International Conference on Predictor Models in Software Engineering
DOI'lar
Yayın durumuYayınlandı - 2009
Harici olarak yayınlandıEvet
Etkinlik5th International Conference on Predictor Models in Software Engineering, PROMISE '09 - Vancouver, BC, Canada
Süre: 18 May 200919 May 2009

Yayın serisi

AdıACM International Conference Proceeding Series

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???event.eventtypes.event.conference???5th International Conference on Predictor Models in Software Engineering, PROMISE '09
Ülke/BölgeCanada
ŞehirVancouver, BC
Periyot18/05/0919/05/09

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